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| Titel: |
Mixed integer programming for a swine manure handling system in the Jiulong River watershed |
| Auteur: |
Liu, Jianchang Zhang, Luoping Zeng, Yue Chen, Nengwang Chen, Weicai Li, Yongyu Hong, Huasheng |
| Verschenen in: |
Aquatic ecosystem health & management |
| Paginering: | Jaargang 9 (2006) nr. 1 pagina's 33-38 |
| Jaar: |
2006-01-01 |
| Inhoud: |
Swine finishing produces a large contribution of manure to nearby surface water and ground water in Jiulong upstream watershed, south Fujian Province, China. It is urgent to find a comprehensive, cost-effective way, not only to solve the manure pollution problem, but also to utilize the nutrients of manure for local farming. Gekou, a small hoggery village in the dense swine-farming core area of the upstream watershed, was selected as the study area. Mixed integer programming models based on uncertain interval numbers were employed to generate optimal whole farm plans for specialized hoggery. Emphasis was placed on discerning the most profitable ways to formulate hog feed rations, manure collection, manure storage, and manure application to achieve the maximum profit and the minimum pollution emission. Analyses were concentrated on ammonia emissions, excess total nitrogen and excess total phosphorus from manure operations, not only as nutrients applied to croplands, but also as pollutants to be minimized in compliance with environmental criteria. Three different hog feed rations, two alternative ways of collecting hog manure, and two alternative storage methods were combined with five alternatives for field application of manure to provide different combinations of hog feeding and manure-handling to be evaluated in the mixed integer programming models. Results indicated tradeoffs between economic goals and environmental goals, the latter being achieved only at some expense to farm net returns. The kaleyard and fishpond are recommended alternatives for field application of manure compared to three other alternatives. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
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